AI Quality Assurance Leader
4 days ago
**Job Title:** AI Quality Assurance Lead**About This Role:We are seeking a seasoned AI Quality Assurance expert to lead our testing efforts for cutting-edge artificial intelligence applications. As an AI Quality Assurance Lead, you will be responsible for developing and implementing comprehensive quality assurance strategies across traditional software, data, and AI-driven systems in alignment with enterprise digital transformation goals.**Key Responsibilities:**• Develop and implement QA strategy across AI/ML systems• Define frameworks and metrics for AI/ML testing• Drive automation-first strategy using AI-powered testing tools• Collaborate with MLOps and data engineering teams on model validation, monitoring, and continuous testing• Establish quality governance processes for AI and data systems adhering to internal standards, industry best practices, and regulatory requirements• Partner with AI architects, data scientists, software engineers, underwriters, and claims teams to integrate testing early in development and ensure reliable deployment• Evaluate and deploy AI-based testing solutions, including intelligent defect prediction, test case generation, and anomaly detection in production systems**Requirements:**• Bachelor's/Master's degree in Computer Science, Information Technology, or related technical discipline• 12+ years of QA/Testing experience with 5+ years in leadership roles; proven track record in managing enterprise-scale QA functions, including testing of AI/ML systems• Expertise in test automation frameworks, performance testing, CI/CD integration, and quality engineering of AI models and APIs• Experience designing AI evaluation strategies for LLMs, NLP systems, computer vision, or predictive models, including use of benchmarks and bias/fairness tools• Proficiency with tools like Selenium, PyTest, Robot Framework, Postman, JMeter, TensorBoard, and AI Eval frameworks (e.g., PromptBench, DeepEval, LangSmith)• Strong ability to communicate technical quality concepts to executive and non-technical stakeholders**Preferred Qualifications:**• Experience testing AI applications in P&C insurance domain, including underwriting automation, claims triage, and telematics• Proven experience integrating AI tools for intelligent automation, defect analysis, and test optimization• Strong team-building, mentorship, and stakeholder engagement experience in global organizations• Background in developing next-generation QA frameworks for digital transformation and AI assurance**Why You'll Love Working Here:**• Hands-on work with global insurance data & real business impact• Learn from cutting-edge AI practices in an innovation-first culture
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